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Urine neutrophil gelatinase-associated lipocalin levels predict acute kidney injury in acute decompensated heart failure patients

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20 Citations (Scopus)

Abstract

Background: Acute heart failure (HF) syndromes are frequently complicated with cardiorenal syndromes. The aim of this study was to evaluate the performance of admission neutrophil gelatinase associated lipocalin (NGAL) levels to predict diuretic dose requirement and to predict the occurrence of acute kidney injury (AKI) in patients presenting with acute decompensated HF. Methods: Patients admitted with HF symptoms between December 2010 and October 2011 were prospectively enrolled. Samples were obtained for NGAL and brain natriuretic peptide. Patients were followed up until discharge or for three days, whichever happened first. They were grouped either to have AKI according to "Acute Kidney Injury Network" criteria or not ("no-AKI"). Results: One hundred patients were enrolled. Urine NGAL levels were higher in AKI group (median 31.3 vs. 16.2 ng/mL) (p < 0.001). Oral furosemide using rates on admission was 60.5% in AKI group, 31.6% in no-AKI group. More AKI developed in patients using less furosemide orally on admission (p = 0.023). Although the mean furosemide doses were similar on the first day (80 mg), diuretic dose increment was less on the following days in AKI group. Urine NGAL levels with 12 ng/mL cut-off value had sensitivity of 79% and specificity of 67% for predicting AKI. Multiple logistic regression analysis yielded an odds ratio of 10.9 for NGAL levels to predict AKI. Conclusion: Urine NGAL level in decompensated HF patients was not a significant predictor of diuretic dose requirement, but was a good marker for predicting AKI at 12 ng/mL cut-off value.

Original languageEnglish
Pages (from-to)772-776
Number of pages5
JournalRenal Failure
Volume37
Issue number5
DOIs
Publication statusPublished - 28 May 2015

Keywords

  • Acute kidney injury
  • cardiorenal syndrome
  • diuretic
  • heart failure
  • neutrophil gelatinase associated lipocalin

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